Aggregated Function For Complex Quality Assessment

Article

Rogalinski, Konstanty; Lo, Vincent   (1992, ASQC)   California Cedar Products, Stockton, California

Annual Quality Congress, Nashville TN    Vol. 46    No. 0
QICID: 9813    May 1992    pp. 50-56
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Article Abstract

A new Quality Control (QC) statistical tool, useful for assessing multiple attributes, is described and demonstrated using input data from the production of pencil slats at California Cedar Products Company, where highly automated and fast production processes require quick responses. A complex quality assessment tool should be characterized by the attempt to assess a wide range of different quality attributes; the confinement of the quality to a small numerical range; the use of one or two control limits; the elimination of subjective factors; the ability to maintain dimensionality for parameters of large quantity; the ability to maintain flexibility when quality variables change; and the ability to remain independent of time when product and criteria change. An Aggregation Function of complex quality assessment is derived. A computer simulation program, written in ASYST, and employing company input data, verified both the sensitivity and accuracy of the function. Results of the simulation model indicate that the Aggregation Function may also be used as an optimization function. The ability to transfer measured values of different quality properties to one uniform standard representing all qualities assessed will be a valuable tool for SPC managers interested in converting massive QC data into manageable information. The Aggregation Function will be useful in other company operations, such as business data processing. Capable of being adjusted easily to operate as a mean or as an estimator, the function is flexible. The use of only numeric operators and relational operators to program the function helps to create a fast QC application capable of processing large amounts of data.

Keywords

Assessment,California Cedar Products Company,Case study,Quality control (QC),Quality tools,Statistical process control (SPC)


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